Objective results corresponding to each parameter were analyzed comparatively with these subjective
results. The developed method was successful by using mean of matrix elements from textural parameters and total area from pill characteristics.
In this study, MATLAB 2018a software was used to evaluate pilling grade of woven fabrics
objectively.
Experimental works were carried out on the EMPA W3 standard photographs and accordingly two woven fabrics.
Equations were built based on the measurements of pill characteristics and textural parameters of these photographs with the help of curve fitting method after image processing steps.
Intervals were generated for each fabric by using slope of these equations and quantitative parameters obtained from the original fabric.
Furthermore, fabrics that were provided pilling formation at different test turns were evaluated subjectively by expert operators.
Experimental works were carried out on the EMPA W3 standard photographs and accordingly two woven fabrics.
Equations were built based on the measurements of pill characteristics and textural parameters of these photographs with the help of curve fitting method after image processing steps.
Intervals were generated for each fabric by using slope of these equations and quantitative parameters obtained from the original fabric.
Furthermore, fabrics that were provided pilling formation at different test turns were evaluated subjectively by expert operators.
Publisher: Ege University Textile and Apparel Research & Application Center
Original Language: English
Document type: Article / Open Access
Cited by 4 documents except author up to this time :
1. Büyükkoru, B., & Kara, A. (2022). Investigation of the pilling properties of polyvinyl phosphonic acid treated fabrics. Journal of the Faculty of Engineering and Architecture of Gazi University, 37(2), 697-709.
2. Büyükkoru, B., & Kara, A. (2021). Synthesis and Characterization of Polyvinylimidazole and Investigation of its Antipilling Effect on Different Fabrics. Tekstil ve Konfeksiyon, 31(4), 274-283.
3. Wu, J., Wang, L., Xiao, Z., Geng, L., Zhang, F., & Liu, Y. (2021). Wool knitted fabric pilling objective evaluation based on double-branch convolutional neural network. The Journal of The Textile Institute, 112(7), 1037-1045.
4. Mendes, A. D. O., Fiadeiro, P. T., Miguel, R. A., Lucas, J. M., & Silva, M. J. D. S. (2021). Optical 3D-system for fabric pilling assessment: A complementary tool to avoid evaluation errors. The Journal of The Textile Institute, 112(6), 921-927.
Last Updated: 24.06.2022
Web Of Science: https://www.webofscience.com/wos/woscc/summary/5985fcb8-ce19-4e80-b8a8-09313f691a82-32914f42/date-descending/1
